Quantitative Analyst

Quant Analyst – Trading IT Platform

Commodities

Zug, Switzerland

Our client is a global commodities firm, and their trading branch is looking for a Quantitative Analyst to join their team focused on analytics, backtesting, and trading strategy optimisation. This role is central to the development of bespoke quantitative models and tools that support derivatives structuring, hedging, and trading.

Key Responsibilities:

• Develop and implement quantitative models and analytics tools to enhance trading strategies.
• Conduct in-depth data analysis and backtesting to support decision-making in derivatives and hedging strategies.
• Collaborate with traders and data engineers to integrate advanced analytics into the trading workflow.
• Use programming languages like Rust, R, Python, C++ and C# to develop efficient solutions.
• Provide insights into market trends, risk factors, and pricing to optimise performance.

Essential Skills & Experience:

• Strong foundation in quantitative modelling, data analysis, and financial engineering.
• Experience in commodities trading, risk management, or energy markets is highly desirable.
• Proficiency in modern programming languages with a focus on Rust, Python, R, C#, and C++(a combination of Rust and R is highly desirable).
• Familiarity with trading IT platforms and backtesting frameworks.
• Strong communication skills to collaborate effectively with cross-disciplinary teams.